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Record W2088733666 · doi:10.13031/2013.29595

Motorist Comprehension of the Slow-Moving Vehicle Emblem in Manitoba

2010· article· en· W2088733666 on OpenAlexaffabout
A. M. Kroeker, Danny Mann

Bibliographic record

VenueJournal of Agricultural Safety and Health · 2010
Typearticle
Languageen
FieldPsychology
TopicSafety Warnings and Signage
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEmblemComprehensionMeaning (existential)PsychologyLinguisticsVisual artsArtPhilosophy

Abstract

fetched live from OpenAlex

Despite the existence of the slow-moving vehicle (SMV) emblem for almost 50 years, there continues to be a large number of preventable accidents between SMVs and other motorists. In this study, the current SMV emblem was tested against other common road signs as well as alternative slow-moving vehicle emblems to determine motorist comprehension of the signs. An open-ended test method was used to determine the level of comprehension by Manitoba motorists. Written answers from 50 participants were classified as either "correct" or "incorrect" by the authors based on the meaning of the traffic signs provided in a driver's handbook. Only 3 of the 16 Manitoba traffic signs attained the 85% level of comprehension required by ANSI standards. Only 22% of participants correctly identified the current SMV emblem. Two alternatives to the SMV emblem found in the literature, both iconic in nature, were understood to mean "slow-moving vehicle" by only 2% and 8% of participants, respectively. Two alternatives to the SMV developed for this project were evaluated with levels of comprehension of 68% and 84%: however, these levels of comprehension were likely biased by the presence of text. There is insufficient evidence to suggest that the current symbolic SMV emblem should be replaced by an alternative emblem that is iconic in nature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.288
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2010
Admission routes2
Has abstractyes

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